Numpy floor() function - Python NumPy floor() Function

NumPy floor() Function:

Numpy floor() function: The floor() function of the NumPy module returns the floor value of the given input array/data. The floor of the scalar x is the largest integer “i”, such that i <= x.

Syntax:

numpy.floor(x, out=None)

Parameters

x: This is required. It is an array (array-like) having elements for which the floor values are calculated.

out: This is optional. It is the location where the result will be saved. It must have a shape that the inputs broadcast to if it is provided. If None or not given, a newly allocated array is returned.

Return Value:

The floor value of each element of x is returned.

NumPy floor() Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random list as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the floor() function of the numpy module to get the floor values of the given array elements
Store it in another variable.
Print the floor values of the given array elements.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([20.3, 5.5, 8.8, 30.076, 12.123])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the floor() function of the 
# numpy module to get the floor values of the given array elements
# Store it in another variable.
floor_vals = np.floor(gvn_arry)
# Print the floor values of the given array elements
print("The floor values of the given array elements:")
print(floor_vals)

Output:

The above given array is:
[20.3 5.5 8.8 30.076 12.123]
The floor values of the given array elements:
[20. 5. 8. 30. 12.]

Example2

np floor: Here, we give the array which includes the elements with negative values.

For example, Let the number given = -1.7

The floor value for -1.7 = -2

When we calculate the floor value for a given negative number, like -1.7, will be -2.

Because -1 is a higher number than -1.7, and -2 is a smaller number than -1.7

Approach:

Import numpy module using the import keyword.
Pass some random list of negative values as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the ceil() function of the numpy module to get the ceiling values of the given array elements with negative values.
Store it in another variable.
Print the ceiling values of the given array elements.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list of negative values as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([-20.3, -1.5, -2.8, -3, -12.6])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the floor() function of the 
# numpy module to get the floor values of the given array elements
# Store it in another variable.
floor_vals = np.floor(gvn_arry)
# Print the floor values of the given array elements
print("The floor values of the given array elements:")
print(floor_vals)

Output:

The above given array is:
[-20.3 -1.5 -2.8 -3. -12.6]
The floor values of the given array elements:
[-21. -2. -3. -3. -13.]

Numpy floor() function – Python NumPy floor() Function

NumPy floor() Function in Python

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